You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
67 lines
2.2 KiB
67 lines
2.2 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve. |
|
# |
|
# Licensed under the Apache License, Version 2.0 (the "License"); |
|
# you may not use this file except in compliance with the License. |
|
# You may obtain a copy of the License at |
|
# |
|
# http://www.apache.org/licenses/LICENSE-2.0 |
|
# |
|
# Unless required by applicable law or agreed to in writing, software |
|
# distributed under the License is distributed on an "AS IS" BASIS, |
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
|
# See the License for the specific language governing permissions and |
|
# limitations under the License. |
|
|
|
import warnings |
|
|
|
import paddle |
|
import paddle.nn as nn |
|
import paddle.nn.functional as F |
|
|
|
from ppcls.utils import logger |
|
|
|
|
|
class CELoss(nn.Layer): |
|
""" |
|
Cross entropy loss |
|
""" |
|
|
|
def __init__(self, epsilon=None): |
|
super().__init__() |
|
if epsilon is not None and (epsilon <= 0 or epsilon >= 1): |
|
epsilon = None |
|
self.epsilon = epsilon |
|
|
|
def _labelsmoothing(self, target, class_num): |
|
if len(target.shape) == 1 or target.shape[-1] != class_num: |
|
one_hot_target = F.one_hot(target, class_num) |
|
else: |
|
one_hot_target = target |
|
soft_target = F.label_smooth(one_hot_target, epsilon=self.epsilon) |
|
soft_target = paddle.reshape(soft_target, shape=[-1, class_num]) |
|
return soft_target |
|
|
|
def forward(self, x, label): |
|
if isinstance(x, dict): |
|
x = x["logits"] |
|
if self.epsilon is not None: |
|
class_num = x.shape[-1] |
|
label = self._labelsmoothing(label, class_num) |
|
x = -F.log_softmax(x, axis=-1) |
|
loss = paddle.sum(x * label, axis=-1) |
|
else: |
|
if label.shape[-1] == x.shape[-1]: |
|
label = F.softmax(label, axis=-1) |
|
soft_label = True |
|
else: |
|
soft_label = False |
|
loss = F.cross_entropy(x, label=label, soft_label=soft_label) |
|
loss = loss.mean() |
|
return {"CELoss": loss} |
|
|
|
|
|
class MixCELoss(object): |
|
def __init__(self, *args, **kwargs): |
|
msg = "\"MixCELos\" is deprecated, please use \"CELoss\" instead." |
|
logger.error(DeprecationWarning(msg)) |
|
raise DeprecationWarning(msg)
|
|
|